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FlowiseAI – The Open Source Visual Builder for AI Agents


This content originally appeared on DEV Community and was authored by Ajay Patidar

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If you’ve been experimenting with LLMs, you know how tricky it can get to move from a proof of concept to a production-ready AI agent. That’s where FlowiseAI comes in.

FlowiseAI is an open-source visual tool that lets you design, test, and deploy AI agents with a drag-and-drop interface. Think of it as the missing layer between raw APIs like OpenAI or Anthropic and your end-user applications. Why FlowiseAI?

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  • – Visual builders: Create workflows using Assistant, Chatflow, or Agentflow depending on how complex your agent is. – RAG-ready: Upload PDFs, Excel files, or any dataset and build retrieval-augmented generation (RAG) bots with ease. – Extensible: Integrates with 100+ tools, vector databases, APIs, and memory modules. – Production features: RBAC, observability, audit logs, and SSO/SAML support make it enterprise friendly. – Deploy anywhere: Run it locally, in Docker, on cloud services, or choose Flowise Cloud for a managed experience.

# Getting Started in Minutes

  1. 1. Clone the repo and start locally: 2. 
git clone https://github.com/FlowiseAI/Flowise.git
cd Flowise
pnpm install && pnpm dev

2.Or spin it up with Docker: docker build -t flowise . docker run -d --name flowise -p 3000:3000 flowise Within minutes you’ll have a running visual interface to start building. What Can You Build?

  • A Slack bot that retrieves company knowledge.

  • A customer support chatbot with memory and context awareness.

  • A multi-agent orchestration system where agents delegate and collaborate on tasks.

    • A custom AI assistant embedded directly into your app via Flowise’s SDK or widget.

The Community Edge

With 43k+ GitHub stars and an active developer community, FlowiseAI is growing fast. Tutorials, workflows, and templates are shared daily, making it easier to learn and extend.

Final Thoughts

FlowiseAI lowers the barrier for developers who want to move quickly from idea to production without writing boilerplate code for orchestration. Whether you’re prototyping a chatbot or building enterprise-grade AI systems, it gives you the right balance of flexibility and speed.

👉 Check it out here: flowiseai.com


This content originally appeared on DEV Community and was authored by Ajay Patidar